“That Looks Like My Kitchen!” − Personalized context by usage frequency and familiarity influences consumer perception and liking of chicken nuggets in VR

Abstract

Restoring relevant context during consumer sensory testing using virtual reality (VR) technologies may facilitate evaluations reflective of real-world experiences, enabling reliable data collection to better predict product success. Prior research has applied the same consumption scenario to all participants without accounting for variations in individual consumption habits. Thus, a consumption scenario of low personal relevance can lead to misleading conclusions. This study aimed to investigate how personal relevance (usage frequency and similarity) of a consumption environment influences consumer perception and acceptance during product evaluations. Using a VR system, 63 consumers evaluated four commercial frozen chicken nuggets in three virtual environments one week apart: sensory booth, high-relevance kitchen, and low-relevance kitchen. Participants assessed the products virtually on overall liking, Check-All-That-Apply (CATA) on 20 attributes, and purchase intent. They also completed a virtual presence and engagement questionnaire after testing. Results found better product discrimination in both kitchen environments compared to the booth as demonstrated in more post-hoc statistical subgroups (p’s < 0.05) on liking and purchase intent. Additionally, more significant product differences were found among CATA attributes in the kitchens. CATA penalty-lift analyses indicated that sensory attributes had more pronounced positive and negative impacts on liking in the high relevance kitchen, followed by the low relevance kitchen, and lastly the booth. Consumers were equally present and engaged during testing across conditions (p’s > 0.05). Results suggest providing a personally relevant consumption environment via VR technologies for consumer testing generated more discriminating data that can improve the quality of consumer insights.